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About

Microsoft Frontier Tuning lets organizations customize one or more of Microsoft’s top MAI models around their unique business needs, trained safely within their own secure environment instead of relying on a generic AI model. The process starts by defining the task and what success looks like, then feeding in data, workflows, and expertise from Microsoft 365 and beyond. Performance is improved through training and iterative optimization, then deployed in Microsoft Foundry or Copilot, where the model can continue improving from real usage. Microsoft Frontier Tuning is designed to create models that know the organization’s work, terms, context, processes, and expertise while keeping data private and secure inside the customer’s environment. It gives teams more control over the model, avoids vendor lock-in, and helps them squeeze more value from every dollar spent by delivering frontier performance with superior token efficiency.

About

Together AI provides an AI-native cloud platform built to accelerate training, fine-tuning, and inference on high-performance GPU clusters. Engineered for massive scale, the platform supports workloads that process trillions of tokens without performance drops. Together AI delivers industry-leading cost efficiency by optimizing hardware, scheduling, and inference techniques, lowering total cost of ownership for demanding AI workloads. With deep research expertise, the company brings cutting-edge models, hardware, and runtime innovations—like ATLAS runtime-learning accelerators—directly into production environments. Its full-stack ecosystem includes a model library, inference APIs, fine-tuning capabilities, pre-training support, and instant GPU clusters. Designed for AI-native teams, Together AI helps organizations build and deploy advanced applications faster and more affordably.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises that need secure, business-specific AI model customization using their own workflows, data, and Microsoft 365 context for deployment in Foundry or Copilot

Audience

Together AI is ideal for AI-native teams, researchers, and enterprises that require high-performance GPU infrastructure, frontier-scale model training, and cost-optimized inference at massive scale

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.0001 per 1k tokens
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft AI
Founded: 2024
United States
microsoft.ai/models/microsoft-frontier-tuning/

Company Information

Together AI
Founded: 2022
United States
www.together.ai/

Alternatives

Alternatives

Phi-4

Phi-4

Microsoft
Tune Studio

Tune Studio

NimbleBox

Categories

Categories

Integrations

Continue
DeepCoder
DeepSWE
DeepSeek-V4-Pro
GLM-5.1
HoneyHive
Kimi K2.5
LFM2
LLM Gateway
Langtail
LiteLLM
Microsoft Azure
Microsoft Copilot
MiniMax M3
Nemotron 3 Super
ONLYOFFICE Docs
Qwen3.5
StackAI
Unify AI
gpt-oss-120b

Integrations

Continue
DeepCoder
DeepSWE
DeepSeek-V4-Pro
GLM-5.1
HoneyHive
Kimi K2.5
LFM2
LLM Gateway
Langtail
LiteLLM
Microsoft Azure
Microsoft Copilot
MiniMax M3
Nemotron 3 Super
ONLYOFFICE Docs
Qwen3.5
StackAI
Unify AI
gpt-oss-120b
Claim Microsoft Frontier Tuning and update features and information
Claim Microsoft Frontier Tuning and update features and information
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